Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power.

Bibliographic Details
Title:	Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power.
Authors:	Shinichi Nakagawa, Malgorzata Lagisz, Yefeng Yang, Szymon M Drobniak
Source:	PLoS Biology, Vol 22, Iss 1, p e3002423 (2024)
Publisher Information:	Public Library of Science (PLoS), 2024.
Publication Year:	2024
Collection:	LCC:Biology (General)
Subject Terms:	Biology (General), QH301-705.5
More Details:	Power analysis currently dominates sample size determination for experiments, particularly in grant and ethics applications. Yet, this focus could paradoxically result in suboptimal study design because publication biases towards studies with the largest effects can lead to the overestimation of effect sizes. In this Essay, we propose a paradigm shift towards better study designs that focus less on statistical power. We also advocate for (pre)registration and obligatory reporting of all results (regardless of statistical significance), better facilitation of team science and multi-institutional collaboration that incorporates heterogenization, and the use of prospective and living meta-analyses to generate generalizable results. Such changes could make science more effective and, potentially, more equitable, helping to cultivate better collaborations.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	1544-9173 1545-7885 39435407
Relation:	https://doaj.org/toc/1544-9173; https://doaj.org/toc/1545-7885
DOI:	10.1371/journal.pbio.3002423
Access URL:	https://doaj.org/article/7cd0d1f394354071a34082ccea864202
Accession Number:	edsdoj.7cd0d1f394354071a34082ccea864202
Database:	Directory of Open Access Journals
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More Details
ISSN:	15449173 15457885 39435407
DOI:	10.1371/journal.pbio.3002423
Published in:	PLoS Biology
Language:	English